Moving Average Model
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High Quality Content by WIKIPEDIA articles! High Quality Content by WIKIPEDIA articles! In time series analysis, the moving average (MA) model is common approach for modeling univariate time series models. The notation MA(q) refers to the moving average model of order q: X_t = mu + varepsilon_t + theta_1 varepsilon_{t-1} + cdots + theta_q varepsilon_{t-q} , where is the mean of the series, the 1, ..., q are the parameters of the model and the t, t 1,... are white noise error terms. The value of q is called the order of the MA model.

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High Quality Content by WIKIPEDIA articles! High Quality Content by WIKIPEDIA articles! In time series analysis, the moving average (MA) model is common approach for modeling univariate time series models. The notation MA(q) refers to the moving average model of order q: X_t = mu + varepsilon_t + theta_1 varepsilon_{t-1} + cdots + theta_q varepsilon_{t-q} , where is the mean of the series, the 1, ..., q are the parameters of the model and the t, t 1,... are white noise error terms. The value of q is called the order of the MA model.